Triple
T16585308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chin Han |
E402940
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Arrow (TV series) |
E1063133
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Arrow (TV series) | Statement: [Chin Han, notableWork, Arrow (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arrow (TV series) Context triple: [Chin Han, notableWork, Arrow (TV series)]
-
A.
Arrow (TV series)
chosen
Arrow is an American superhero television series based on the DC Comics character Green Arrow, following billionaire vigilante Oliver Queen as he fights crime and corruption in Starling City.
-
B.
Black Arrow
Black Arrow is the famed enchanted arrow in J.R.R. Tolkien's "The Hobbit" that Bard the Bowman uses to slay the dragon Smaug.
-
C.
Red Arrow
Red Arrow is a branded limited express train service operated by Japan’s Seibu Railway, known for providing comfortable, faster intercity travel in the Tokyo metropolitan area.
-
D.
Red Arrow
Red Arrow was a named Pennsylvania Railroad passenger train that provided intercity service using the railroad’s streamlined passenger cars.
-
E.
Green Arrow
Green Arrow is a DC Comics superhero and master archer who fights crime using trick arrows, a strong moral code, and a Robin Hood-inspired persona.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3599b057881909fcb8bbb156633a8 |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006ef4f17c819095b3c6f8644b687b |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.